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» Explicit Batching for Distributed Objects
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131
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IPSN
2005
Springer
15 years 7 months ago
Lazy inference on object identities in wireless sensor networks
Tracking the identities of moving objects is an important aspect of most multi-object tracking applications. Uncertainty in sensor data, coupled with the intrinsic difficulty of ...
Jaewon Shin, Nelson Lee, Sebastian Thrun, Leonidas...
ICIAP
1999
ACM
15 years 6 months ago
Determining the Skeletons of the Auroras
The auroral emissions observed in the high-latitude regions encircling the magnetic poles are a key element in studying plasmaphysical processes in the near-Earth space, the magne...
Mikko T. Syrjäsuo, Tuija I. Pulkkinen
107
Voted
TKDE
1998
111views more  TKDE 1998»
15 years 1 months ago
Efficient Data Mining for Path Traversal Patterns
—In this paper, we explore a new data mining capability that involves mining path traversal patterns in a distributed information-providing environment where documents or objects...
Ming-Syan Chen, Jong Soo Park, Philip S. Yu
SAC
2002
ACM
15 years 1 months ago
A comprehensive model for arbitrary result extraction
Within the realms of workflow management and grid computing, scheduling of distributed services is a central issue. Most schedulers balance time and cost to fit within a client�...
Neal Sample, Dorothea Beringer, Gio Wiederhold
ASPLOS
2010
ACM
15 years 7 months ago
An asymmetric distributed shared memory model for heterogeneous parallel systems
Heterogeneous computing combines general purpose CPUs with accelerators to efficiently execute both sequential control-intensive and data-parallel phases of applications. Existin...
Isaac Gelado, Javier Cabezas, Nacho Navarro, John ...